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All Journal Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Jurnal Pengabdian Masyarakat Asia
Efi Anisa
Sekolah Tinggi Teknologi Duta Bangsa
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

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Analisis Sentiment Twitter Berbasis Grid Search Algorithm (GSA) Dengan Metode Support Vector Machine (SVM) Dedi Wirasasmita; Efi Anisa
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa dan Inovasi Volume 5 Nomor 1 Tahun 2023
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v5i1.3789

Abstract

Twitter is a social networking service that has undergone tremendous growth and is gaining worldwide popularity at an accelerated rate. Twitter allows for the expression of unbiased thoughts on a variety of issues and can assist businesses in providing public feedback on well-known brands and items. Twitter is having trouble with good and negative answers. Researchers evaluated English-language tweets to determine the proportion of positive and negative replies to popular companies and items. This study will explore Twitter sentiment analysis utilizing the Grid Search Algorithm (GSA) and the support vector machine (SVM) technique. GSA is utilized by the feature selection model to optimize the classification procedure. In this work, training data and testing data are required to do sentiment analysis. Sanders Twitter 0.2 utilizes a dataset consisting of tweets retrieved from Twitter using the search terms @apple, #google, #microsoft, and #twitter. The collected dataset was manually annotated and included 654 negatives, 570 positives, 2503 neutrals, and 1786 irrelevant entries. Data are loaded, tokenized, weighted, preprocessed, filtered, and classified to conduct a sentiment analysis. The application's sentiment analysis achieved a degree of accuracy of up to 79% based on testing. The ratio of neutral and bad tweets on data sandboxes tends to be greater than the percentage of positive tweets, hence optimization rather than accuracy is obtained.
Analisis Implementasi Komunikasi Modbus TCP/IP dalam Penerapan Visualisasi Data Hasil Produksi pada Sistem Andon Line Production Bonanza Yoma Pratama; Efi Anisa
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa dan Inovasi Volume 5 Nomor 1 Tahun 2023
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v5i1.3791

Abstract

Andon refers to an information system aimed at management, maintenance, planners, or other workers regarding quality, process, or quantity issues. To support accurate data communication, a reliable protocol and high precision are required. The Modbus TCP/IP protocol is compatible with Andon systems. This study aims to analyze the implementation of Modbus TCP/IP communication in the application of production data visualization in online production systems. At a certain distance, the antenna's data must display the data's precision in real time. The average data transfer time at the farthest distance tested, 50 meters, was 0.0043 seconds, indicating that the longer the distance between the client and server, the longer the waiting time tends to be, but does not exceed 0.01 seconds if it does not affect production activities. These results are still pertinent to the information required by the organization.
Klasifikasi Gender Berdasarkan Fingerprint Menggunakan Metode Naive Bayes Classifier Cindhy Herumawan; Efi Anisa
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa dan Inovasi Volume 5 Nomor 1 Tahun 2023
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v5i1.3801

Abstract

No two fingerprints are identical, as everyone has their own characteristics. The most fundamental problem lies in the results of the fingerprint image, typically due to inconsistencies in the emphasis of the fingerprint and the position of the fingerprint, resulting in inconsistencies in the thickness of the black line and shifting positions, which negatively impact the overall performance of the system. To solve this issue, research is required on a classifier that assumes all attributes exist independently. The NBC (Naïve Bayes Classifier) is a classifier based on the assumption that all attributes are independent. The NBC method for gender classification based on fingerprints consists of three steps. The initial step is to evaluate the quality of the image to be processed. This is demonstrated by the consistency of the grayscale values, which are not skewed when converted to a binary image. The second is the selection of data that exhibits no data deviation, which also leads to errors in the classification procedure that follows. With the existence of machine learning, class-based measurement formulations can be acquired through training. Even with unbalanced data, it is preferable to use NBC for classification purposes.
Design and Development of Alternative Energy Sources: Solar Power Plant in Kalandrina Selosia Residential Area RT 008 / RW 008 Jayamukti Village Alfian Ady Saputra; Efi Anisa
Jurnal Pengabdian Masyarakat Vol 4 No 2 (2023): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v4i2.1071

Abstract

Purpose: This research paper aims to introduce a solar power plant in Kalandrina Selosia's residential area, addressing local energy needs sustainably. The study's significance lies in offering a renewable energy solution within a community context. Method: The research used experimental and descriptive methods to measure solar panel output and intensity alongside assessing electrical installations. Analytical techniques evaluated the system's functionality. Practical Applications: The designed 50-watt solar power plant showcases the feasibility of local solar energy generation. Its potential to reduce costs and environmental impact holds practical implications for communities lacking conventional power sources. Conclusion: This study successfully demonstrates solar power's viability in Kalandrina Selosia. The project contributes practical insight into renewable energy adoption, benefiting the community and broader understanding.
Co-Authors Bonanza Yoma Pratama Cindhy Herumawan Dedi Wirasasmita Saputra, Alfian Ady